Labcorp is looking to solve complex data analysis problems from high-dimensional datasets using innovative solutions driven by exploratory data analysis, statistics, data modeling, data science, artificial intelligence, and software engineering.
Requirements
- Experience in artificial intelligence and statistical learning.
- Experience with statistical methodologies and machine learning techniques such as: neural networks, graphical models, ensemble methods and natural language processing.
- Experience with multiple deep learning techniques such as CNN, LSTM, RNN, etc., in addition to standard machine learning approaches such as those found in scikit-learn.
- Proficiency with Python. Can develop meaningful python code using objective oriented programming and functional programming. Writes tests for code. Can debug errors quickly.
- Familiarity with one or more machine learning libraries or frameworks such as: PyTorch, Tensorflow.
- Experience using cloud technologies such as AWS with tools such as S3, Lambda, Athena, API Gateway, SageMaker.
- Knowledge of generative AI approaches such as large language models, diffusion models, or GANs is desirable.
Responsibilities
- Interpret data and present insights through rich and intuitive visualizations that tell compelling stories.
- Develop novel ways of integrating, mining, and visualizing diverse, high-dimensional, and poorly curated data sets.
- Explore and implement generative AI techniques where appropriate to enhance data analysis capabilities and create new solutions.
- Develop and deliver presentations to communicate technical ideas and analytical findings to non-technical partners and senior leadership.
- Build underlying software infrastructure to better manage, integrate, and mine data, incorporating both traditional and generative AI approaches.
- Work closely with engineering teams and participate in the full development cycle from product inception and research to production deployment.
- Write production quality code while implementing both established methods and innovative AI solutions.
Other
- Advance degree is required in Computer Science, Engineering, Statistics, Math or related field.
- Must be able to provide evidence of relevant research expertise in the form of presentations, software, technical publications, and/or knowledge of applications.
- Master with at least 4 years’ experience or Ph.D. with 2 years of experience in a Data science setting.
- Ability to communicate effectively.
- Leadership experience in technical discussions with senior stakeholders.
